Related Experiment Video
Updated: Jul 18, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Validation of gout diagnosis in electronic primary care medical records: A population-based study
Maria A Pou1, Daniel Martinez-Laguna2, Jose L Estebanez3
1EAP Encants, ICS, Barcelona, Spain; Grup de recerca en malalties prevalents de l'Aparell locomotor en Atenció Primaria (GREMPAL), ICS, Barcelona, Spain; Medicine Faculty, Universitat Autònoma de Barcelona, Barcelona, Spain.
Objective:
The main objective of the study was to see the concordance between the diagnosis of gout recorded in primary care electronic medical records and the ACR/EULAR 2015 classification criteria.
Methods:
A cross-sectional study was conducted using electronic medicals records in 7 primary care centres of Barcelona. Patients' data to study clinical diagnose and management was gathered from the primary care electronic medical records of the Catalonian health institute (Institut Català de la Salut, ICS) and phone interview. Patients were considered to have gout if they scored 8 or more points on the EULAR/ACR 2015 classification criteria for gout.
Results:
In total, 70.9% of the patients with a gout diagnosis met ACR/EULAR 2015 criteria. Adding a hyperuricemia in a blood test in the EMR increased the percentage to 78.9%. 29.8% of the gout patients were not receiving urate-lowering therapy. 62.3% of the treated patients did not achieve the target uricemia (< 6mg/dL).
Conclusions:
The majority of gout patients from primary care electronic medical records fulfil ACR/EULAR gout criteria. This database can be used for observational studies. In most of the gout patients the urate target was not achieved.
More Related Videos
07:22Glycemic Impact on Knee Osteoarthritis Symptoms on Physical, Radiographic, and Inflammatory Markers among Individuals Aged 50 and Over with Diabetes
Published on: March 7, 2025
07:31Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Related Concept Videos
Urinary Tract Infection III: Diagnostic Studies and Interprofessional Care
Peripheral Arterial Disease II: Clinical Manifestations and Diagnostic Evaluation
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Methods of Documentation VII: EMR
Urinary Tract Calculi II: Pathophysiology and Clinical Manifestations
Rheumatic Heart Disease II: Clinical Manifestations and Diagnostic Studies